{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from config import *\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020年4月\n"
     ]
    }
   ],
   "source": [
    "print(f'{year}年{month}月')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import sys\n",
    "sys.path.append('../../py')\n",
    "import db\n",
    "import weighted\n",
    "import inspect\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.stats as stats\n",
    "import numpy as np\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_original=pd.read_sql(sql=f\"select * from _{year}{month:02} where monthly_salary>0 and monthly_salary<80000\", con=db.get_conn())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(61856, 122)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_original.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data_original"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "del data['publish_date']\n",
    "del data['published_on_weekend']\n",
    "del data['title']\n",
    "del data['company_title']\n",
    "del data['company_description']\n",
    "del data['job_description']\n",
    "del data['job_id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_sub_stats_by_prefix(data, prefix):\n",
    "    \n",
    "    features = [feature for feature in data.columns if feature.startswith(prefix)]\n",
    "    salary_mean=[]\n",
    "    salary_median=[]\n",
    "    salary_95_min=[]\n",
    "    salary_95_max=[]\n",
    "    count=[]\n",
    "    \n",
    "    features_out=[]\n",
    "    for feature in features:\n",
    "        #print(feature)\n",
    "        idata=data[data[feature]==1]\n",
    "        headcount=idata.headcount.sum()\n",
    "        values = idata.monthly_salary.values\n",
    "        weights = idata.headcount.values\n",
    "        #print(str(headcount))\n",
    "        if headcount==0:\n",
    "            continue\n",
    "        \n",
    "        salary_mean.append(weighted.weighted_mean(values, weights))\n",
    "        q = weighted.weighted_quantile(values,[0.025,0.5,0.975],weights)\n",
    "        salary_median.append(q[1])\n",
    "        salary_95_min.append(q[0])\n",
    "        salary_95_max.append(q[2])\n",
    "        count.append(idata.headcount.sum())\n",
    "        features_out.append(feature)\n",
    "    sub_data=pd.DataFrame()\n",
    "    sub_data['rank']=range(0,len(features_out))\n",
    "    sub_data[prefix]=[f.replace(prefix,'') for f in features_out]\n",
    "    sub_data['salary_mean']=salary_mean\n",
    "    sub_data['salary_median']=salary_median\n",
    "    sub_data['salary_95_min']=salary_95_min\n",
    "    sub_data['salary_95_max']=salary_95_max\n",
    "    sub_data['head_count']=count\n",
    "    sub_data['percentage']=count/np.sum(count)\n",
    "    sub_data=sub_data.sort_values(by='salary_mean', ascending=False)\n",
    "    sub_data['rank']=range(1,len(features_out)+1)\n",
    "    #sub_data=sub_data.reset_index()\n",
    "    return sub_data\n",
    "\n",
    "def apply_style(sub_data):\n",
    "    return sub_data.style.hide_index().format(\n",
    "        {\"percentage\":\"{:.2%}\",\"salary_mean\":\"{:.0f}\",\"salary_median\":\"{:.0f}\",\"salary_95_min\":\"{:.0f}\",\"salary_95_max\":\"{:.0f}\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_pl=get_sub_stats_by_prefix(data,'pl_')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_60bce0e8_74fa_11ea_b931_701ce71031ef\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >rank</th>        <th class=\"col_heading level0 col1\" >pl_</th>        <th class=\"col_heading level0 col2\" >salary_mean</th>        <th class=\"col_heading level0 col3\" >salary_median</th>        <th class=\"col_heading level0 col4\" >salary_95_min</th>        <th class=\"col_heading level0 col5\" >salary_95_max</th>        <th class=\"col_heading level0 col6\" >head_count</th>        <th class=\"col_heading level0 col7\" >percentage</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow0_col0\" class=\"data row0 col0\" >1</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow0_col1\" class=\"data row0 col1\" >rust</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow0_col2\" class=\"data row0 col2\" >21580</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow0_col3\" class=\"data row0 col3\" >20000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow0_col4\" class=\"data row0 col4\" >6127</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow0_col5\" class=\"data row0 col5\" >47469</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow0_col6\" class=\"data row0 col6\" >501</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow0_col7\" class=\"data row0 col7\" >0.16%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow1_col0\" class=\"data row1 col0\" >2</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow1_col1\" class=\"data row1 col1\" >ruby</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow1_col2\" class=\"data row1 col2\" >20583</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow1_col3\" class=\"data row1 col3\" >17500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow1_col4\" class=\"data row1 col4\" >3510</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow1_col5\" class=\"data row1 col5\" >45149</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow1_col6\" class=\"data row1 col6\" >897</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow1_col7\" class=\"data row1 col7\" >0.28%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow2_col0\" class=\"data row2 col0\" >3</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow2_col1\" class=\"data row2 col1\" >scala</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow2_col2\" class=\"data row2 col2\" >20548</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow2_col3\" class=\"data row2 col3\" >20000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow2_col4\" class=\"data row2 col4\" >7000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow2_col5\" class=\"data row2 col5\" >45000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow2_col6\" class=\"data row2 col6\" >1856</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow2_col7\" class=\"data row2 col7\" >0.58%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow3_col0\" class=\"data row3 col0\" >4</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow3_col1\" class=\"data row3 col1\" >go</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow3_col2\" class=\"data row3 col2\" >19335</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow3_col3\" class=\"data row3 col3\" >17500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow3_col4\" class=\"data row3 col4\" >7000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow3_col5\" class=\"data row3 col5\" >45000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow3_col6\" class=\"data row3 col6\" >21853</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow3_col7\" class=\"data row3 col7\" >6.87%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow4_col0\" class=\"data row4 col0\" >5</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow4_col1\" class=\"data row4 col1\" >lua</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow4_col2\" class=\"data row4 col2\" >19252</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow4_col3\" class=\"data row4 col3\" >17500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow4_col4\" class=\"data row4 col4\" >5250</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow4_col5\" class=\"data row4 col5\" >40000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow4_col6\" class=\"data row4 col6\" >2182</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow4_col7\" class=\"data row4 col7\" >0.69%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow5_col0\" class=\"data row5 col0\" >6</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow5_col1\" class=\"data row5 col1\" >python</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow5_col2\" class=\"data row5 col2\" >18742</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow5_col3\" class=\"data row5 col3\" >16000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow5_col4\" class=\"data row5 col4\" >5450</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow5_col5\" class=\"data row5 col5\" >45000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow5_col6\" class=\"data row5 col6\" >25229</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow5_col7\" class=\"data row5 col7\" >7.93%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow6_col0\" class=\"data row6 col0\" >7</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow6_col1\" class=\"data row6 col1\" >r</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow6_col2\" class=\"data row6 col2\" >18350</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow6_col3\" class=\"data row6 col3\" >17500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow6_col4\" class=\"data row6 col4\" >5833</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow6_col5\" class=\"data row6 col5\" >45000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow6_col6\" class=\"data row6 col6\" >2101</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow6_col7\" class=\"data row6 col7\" >0.66%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow7_col0\" class=\"data row7 col0\" >8</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow7_col1\" class=\"data row7 col1\" >matlab</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow7_col2\" class=\"data row7 col2\" >17903</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow7_col3\" class=\"data row7 col3\" >17500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow7_col4\" class=\"data row7 col4\" >6500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow7_col5\" class=\"data row7 col5\" >37500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow7_col6\" class=\"data row7 col6\" >5083</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow7_col7\" class=\"data row7 col7\" >1.60%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow8_col0\" class=\"data row8 col0\" >9</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow8_col1\" class=\"data row8 col1\" >perl</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow8_col2\" class=\"data row8 col2\" >16679</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow8_col3\" class=\"data row8 col3\" >15000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow8_col4\" class=\"data row8 col4\" >5000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow8_col5\" class=\"data row8 col5\" >37500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow8_col6\" class=\"data row8 col6\" >1885</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow8_col7\" class=\"data row8 col7\" >0.59%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow9_col0\" class=\"data row9 col0\" >10</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow9_col1\" class=\"data row9 col1\" >swift</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow9_col2\" class=\"data row9 col2\" >15691</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow9_col3\" class=\"data row9 col3\" >14000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow9_col4\" class=\"data row9 col4\" >6500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow9_col5\" class=\"data row9 col5\" >32700</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow9_col6\" class=\"data row9 col6\" >1724</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow9_col7\" class=\"data row9 col7\" >0.54%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow10_col0\" class=\"data row10 col0\" >11</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow10_col1\" class=\"data row10 col1\" >kotlin</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow10_col2\" class=\"data row10 col2\" >15604</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow10_col3\" class=\"data row10 col3\" >15000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow10_col4\" class=\"data row10 col4\" >6500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow10_col5\" class=\"data row10 col5\" >30000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow10_col6\" class=\"data row10 col6\" >619</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow10_col7\" class=\"data row10 col7\" >0.19%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow11_col0\" class=\"data row11 col0\" >12</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow11_col1\" class=\"data row11 col1\" >php</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow11_col2\" class=\"data row11 col2\" >15388</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow11_col3\" class=\"data row11 col3\" >12500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow11_col4\" class=\"data row11 col4\" >5000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow11_col5\" class=\"data row11 col5\" >42500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow11_col6\" class=\"data row11 col6\" >11165</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow11_col7\" class=\"data row11 col7\" >3.51%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow12_col0\" class=\"data row12 col0\" >13</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow12_col1\" class=\"data row12 col1\" >haskell</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow12_col2\" class=\"data row12 col2\" >15250</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow12_col3\" class=\"data row12 col3\" >15000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow12_col4\" class=\"data row12 col4\" >11500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow12_col5\" class=\"data row12 col5\" >24375</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow12_col6\" class=\"data row12 col6\" >30</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow12_col7\" class=\"data row12 col7\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow13_col0\" class=\"data row13 col0\" >14</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow13_col1\" class=\"data row13 col1\" >typescript</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow13_col2\" class=\"data row13 col2\" >15187</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow13_col3\" class=\"data row13 col3\" >13500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow13_col4\" class=\"data row13 col4\" >6216</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow13_col5\" class=\"data row13 col5\" >35000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow13_col6\" class=\"data row13 col6\" >673</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow13_col7\" class=\"data row13 col7\" >0.21%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow14_col0\" class=\"data row14 col0\" >15</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow14_col1\" class=\"data row14 col1\" >cpp</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow14_col2\" class=\"data row14 col2\" >14962</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow14_col3\" class=\"data row14 col3\" >12500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow14_col4\" class=\"data row14 col4\" >5250</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow14_col5\" class=\"data row14 col5\" >37500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow14_col6\" class=\"data row14 col6\" >83970</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow14_col7\" class=\"data row14 col7\" >26.39%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow15_col0\" class=\"data row15 col0\" >16</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow15_col1\" class=\"data row15 col1\" >objective_c</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow15_col2\" class=\"data row15 col2\" >14444</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow15_col3\" class=\"data row15 col3\" >13000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow15_col4\" class=\"data row15 col4\" >6386</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow15_col5\" class=\"data row15 col5\" >26292</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow15_col6\" class=\"data row15 col6\" >129</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow15_col7\" class=\"data row15 col7\" >0.04%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow16_col0\" class=\"data row16 col0\" >17</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow16_col1\" class=\"data row16 col1\" >java</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow16_col2\" class=\"data row16 col2\" >14101</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow16_col3\" class=\"data row16 col3\" >12500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow16_col4\" class=\"data row16 col4\" >5250</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow16_col5\" class=\"data row16 col5\" >35000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow16_col6\" class=\"data row16 col6\" >89793</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow16_col7\" class=\"data row16 col7\" >28.21%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow17_col0\" class=\"data row17 col0\" >18</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow17_col1\" class=\"data row17 col1\" >julia</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow17_col2\" class=\"data row17 col2\" >14000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow17_col3\" class=\"data row17 col3\" >12500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow17_col4\" class=\"data row17 col4\" >12500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow17_col5\" class=\"data row17 col5\" >21500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow17_col6\" class=\"data row17 col6\" >12</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow17_col7\" class=\"data row17 col7\" >0.00%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow18_col0\" class=\"data row18 col0\" >19</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow18_col1\" class=\"data row18 col1\" >c_sharp</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow18_col2\" class=\"data row18 col2\" >12272</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow18_col3\" class=\"data row18 col3\" >11500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow18_col4\" class=\"data row18 col4\" >4525</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow18_col5\" class=\"data row18 col5\" >30000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow18_col6\" class=\"data row18 col6\" >35896</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow18_col7\" class=\"data row18 col7\" >11.28%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow19_col0\" class=\"data row19 col0\" >20</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow19_col1\" class=\"data row19 col1\" >javascript</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow19_col2\" class=\"data row19 col2\" >11922</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow19_col3\" class=\"data row19 col3\" >11500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow19_col4\" class=\"data row19 col4\" >5000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow19_col5\" class=\"data row19 col5\" >25000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow19_col6\" class=\"data row19 col6\" >31234</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow19_col7\" class=\"data row19 col7\" >9.81%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow20_col0\" class=\"data row20 col0\" >21</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow20_col1\" class=\"data row20 col1\" >visual_basic</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow20_col2\" class=\"data row20 col2\" >11623</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow20_col3\" class=\"data row20 col3\" >12500</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow20_col4\" class=\"data row20 col4\" >5250</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow20_col5\" class=\"data row20 col5\" >21875</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow20_col6\" class=\"data row20 col6\" >25</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow20_col7\" class=\"data row20 col7\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow21_col0\" class=\"data row21 col0\" >22</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow21_col1\" class=\"data row21 col1\" >delphi</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow21_col2\" class=\"data row21 col2\" >10843</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow21_col3\" class=\"data row21 col3\" >10000</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow21_col4\" class=\"data row21 col4\" >3971</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow21_col5\" class=\"data row21 col5\" >20833</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow21_col6\" class=\"data row21 col6\" >1024</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow21_col7\" class=\"data row21 col7\" >0.32%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow22_col0\" class=\"data row22 col0\" >23</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow22_col1\" class=\"data row22 col1\" >vba</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow22_col2\" class=\"data row22 col2\" >10756</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow22_col3\" class=\"data row22 col3\" >10643</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow22_col4\" class=\"data row22 col4\" >3750</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow22_col5\" class=\"data row22 col5\" >22662</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow22_col6\" class=\"data row22 col6\" >367</td>\n",
       "                        <td id=\"T_60bce0e8_74fa_11ea_b931_701ce71031efrow22_col7\" class=\"data row22 col7\" >0.12%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2c2d2ecf788>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apply_style(data_pl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(23, 8)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_pl.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_pl=data_pl[['pl_','percentage']].sort_values(by='percentage', ascending=False)\n",
    "data_pl.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031ef\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >rank</th>        <th class=\"col_heading level0 col1\" >pl_</th>        <th class=\"col_heading level0 col2\" >percentage</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow0_col0\" class=\"data row0 col0\" >1</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow0_col1\" class=\"data row0 col1\" >java</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow0_col2\" class=\"data row0 col2\" >28.21%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow1_col0\" class=\"data row1 col0\" >2</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow1_col1\" class=\"data row1 col1\" >cpp</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow1_col2\" class=\"data row1 col2\" >26.39%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow2_col0\" class=\"data row2 col0\" >3</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow2_col1\" class=\"data row2 col1\" >c_sharp</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow2_col2\" class=\"data row2 col2\" >11.28%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow3_col0\" class=\"data row3 col0\" >4</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow3_col1\" class=\"data row3 col1\" >javascript</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow3_col2\" class=\"data row3 col2\" >9.81%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow4_col0\" class=\"data row4 col0\" >5</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow4_col1\" class=\"data row4 col1\" >python</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow4_col2\" class=\"data row4 col2\" >7.93%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow5_col0\" class=\"data row5 col0\" >6</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow5_col1\" class=\"data row5 col1\" >go</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow5_col2\" class=\"data row5 col2\" >6.87%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow6_col0\" class=\"data row6 col0\" >7</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow6_col1\" class=\"data row6 col1\" >php</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow6_col2\" class=\"data row6 col2\" >3.51%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow7_col0\" class=\"data row7 col0\" >8</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow7_col1\" class=\"data row7 col1\" >matlab</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow7_col2\" class=\"data row7 col2\" >1.60%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow8_col0\" class=\"data row8 col0\" >9</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow8_col1\" class=\"data row8 col1\" >lua</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow8_col2\" class=\"data row8 col2\" >0.69%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow9_col0\" class=\"data row9 col0\" >10</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow9_col1\" class=\"data row9 col1\" >r</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow9_col2\" class=\"data row9 col2\" >0.66%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow10_col0\" class=\"data row10 col0\" >11</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow10_col1\" class=\"data row10 col1\" >perl</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow10_col2\" class=\"data row10 col2\" >0.59%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow11_col0\" class=\"data row11 col0\" >12</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow11_col1\" class=\"data row11 col1\" >scala</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow11_col2\" class=\"data row11 col2\" >0.58%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow12_col0\" class=\"data row12 col0\" >13</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow12_col1\" class=\"data row12 col1\" >swift</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow12_col2\" class=\"data row12 col2\" >0.54%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow13_col0\" class=\"data row13 col0\" >14</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow13_col1\" class=\"data row13 col1\" >delphi</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow13_col2\" class=\"data row13 col2\" >0.32%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow14_col0\" class=\"data row14 col0\" >15</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow14_col1\" class=\"data row14 col1\" >ruby</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow14_col2\" class=\"data row14 col2\" >0.28%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow15_col0\" class=\"data row15 col0\" >16</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow15_col1\" class=\"data row15 col1\" >typescript</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow15_col2\" class=\"data row15 col2\" >0.21%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow16_col0\" class=\"data row16 col0\" >17</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow16_col1\" class=\"data row16 col1\" >kotlin</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow16_col2\" class=\"data row16 col2\" >0.19%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow17_col0\" class=\"data row17 col0\" >18</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow17_col1\" class=\"data row17 col1\" >rust</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow17_col2\" class=\"data row17 col2\" >0.16%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow18_col0\" class=\"data row18 col0\" >19</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow18_col1\" class=\"data row18 col1\" >vba</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow18_col2\" class=\"data row18 col2\" >0.12%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow19_col0\" class=\"data row19 col0\" >20</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow19_col1\" class=\"data row19 col1\" >objective_c</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow19_col2\" class=\"data row19 col2\" >0.04%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow20_col0\" class=\"data row20 col0\" >21</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow20_col1\" class=\"data row20 col1\" >haskell</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow20_col2\" class=\"data row20 col2\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow21_col0\" class=\"data row21 col0\" >22</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow21_col1\" class=\"data row21 col1\" >visual_basic</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow21_col2\" class=\"data row21 col2\" >0.01%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow22_col0\" class=\"data row22 col0\" >23</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow22_col1\" class=\"data row22 col1\" >julia</td>\n",
       "                        <td id=\"T_62c56a68_74fa_11ea_b6bc_701ce71031efrow22_col2\" class=\"data row22 col2\" >0.00%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2c2cfd185c8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "data_pl['rank']=list(range(1,24))\n",
    "data_pl=data_pl[['rank','pl_','percentage']]\n",
    "#data_pl.style.format({\"percentage\":\"{:.2%}\"})\n",
    "data_pl.style.hide_index().format({\"percentage\":\"{:.2%}\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_pl=data_pl.sort_values(by='percentage')\n",
    "\n",
    "# Pie chart, where the slices will be ordered and plotted counter-clockwise:\n",
    "labels = data_pl['pl_']\n",
    "sizes = data_pl['percentage']\n",
    "#explode = (0, 0.1, 0, 0)  # only \"explode\" the 2nd slice (i.e. 'Hogs')\n",
    "\n",
    "fig1, ax1 = plt.subplots(figsize=(15, 9))\n",
    "ax1.pie(sizes, labels=labels, autopct='%1.1f%%',\n",
    "        shadow=True, startangle=90)\n",
    "ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "plt.title(f\"Programming Languages in China, {year}{month:02}\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Word Cloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud\n",
    "wc=WordCloud()\n",
    "wc_dict = {}\n",
    "for index, row in data_pl.iterrows():\n",
    "    wc_dict[row['pl_']]=row['percentage']\n",
    "\n",
    "\n",
    "wc=wc.generate_from_frequencies(wc_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "wc_dict['c/c++']=0.33\n",
    "wc=wc.generate_from_frequencies(wc_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "plt.imshow(wc, interpolation=\"bilinear\")\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020年4月\n"
     ]
    }
   ],
   "source": [
    "print(f'{year}年{month}月')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
